Do Patients Really Prefer Individual Outpatient Follow-up Visits, Compared with Group Medical Visits?
Bibliographic record
Abstract
OBJECTIVE: Access to outpatient psychiatric care remains problematic in Canada. We have been using group medical visits (GMV) to treat psychiatric outpatients with mood and anxiety disorders. Our study aimed to show that patients are similarly satisfied with GMV and individual psychiatric treatment, hence the concern that patients truly prefer individual treatment may be unfounded. METHOD: Our study compared patient satisfaction in people who have had previous individual psychiatric care and are now receiving GMV to determine whether there is a treatment preference. RESULTS: Questionnaire data were analyzed using repeated measures ANOVA. The ANOVAs showed no differences in patients' experiences with individual treatment, compared with GMV. In addition, we found when asked directly, most patients preferred GMV or had no treatment preference. CONCLUSIONS: These findings indicate that patients' perspectives of individual psychiatric treatment and GMV are roughly equal. This suggests that the method of GMV deserves further study and comparison with other clinical models of psychiatric outpatient treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".